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Table 4 Effect of λ on the behavior of DPART (number of alleles was 5)

From: Characterization of a Bayesian genetic clustering algorithm based on a Dirichlet process prior and comparison among Bayesian clustering methods

Ancestral allele freq. and number of loci

{0.2, 0.2 ..., 0.2} × 30 loci

{0.8, 0.05, ..., 0.05} × 100 loci

{0.2,0.2 ...} × 30 loci + {0.8, 0.05, ...} × 30 loci

Mean major allele frequency

0.353 ± 0.074

0.799 ± 0.105

0.575 ± 0.242

λ = 3

0.028 (97)

0.500 (0)

0.500 (0)

 

2.17

1.00

01.00

λ = 1

0.044 (91)

0.500 (0)

0.236 (53)

 

2.65

1.00

1.53

λ = 0.5

0.130 (75)

0.215 (57)

0.136 (73)

 

2.13

1.57

1.73

λ = J l -1

0.459 (8)

0.020 (96)

0.370 (26)

 

1.18

1.96

1.26

Inferred (unique)

0.034 (93)

0.475 (5)

0.028 (95)

 

2.24

1.05

1.95

Inferred (single)

0.024 (99)

0.120 (76)

0.166 (67)

 

2.07

1.76

1.67

  1. Average , the number of data sets in which was 0.1 or less (in parentheses), and the average K values (in Italic) are shown. The number of populations was 2 and the number of individuals per population was 25. Vectors in parentheses indicate ancestral allele frequencies. "Mean major allele frequency" indicates the mean values of major allele frequencies in the data sets. J l is the number of observed alleles. "Inferred (unique)" indicates that a unique λ value was inferred for each locus, and "Inferred (single)" indicates that a single value was inferred for all loci.